DoorDash Dataset: Unlocking Market Intelligence

Gain unparalleled insights into the competitive landscape with our comprehensive DoorDash Dataset. Leverage precise, granular data to refine your strategy and outperform rivals.

DATA POINTS

What granular insights does our DoorDash data deliver?

Delve into a rich repository detailing DoorDash venues, their comprehensive menu offerings, and dynamic pricing strategies. This granular intelligence empowers you to accurately map market coverage, identify top-performing restaurants, and analyze competitor service levels. Ultimately, this allows you to benchmark your own platform's performance, uncover critical market gaps, and construct robust, data-driven growth initiatives.

This category includes all the fundamental information that uniquely identifies a restaurant and its physical location. This data is the foundation for sales teams to generate leads and for analysts to map the market.

Restaurant Name - The official name of the venue

Full Address - The complete physical address, including street and number.

Address with City - A combined address with the city, often used for importing into CRM systems.

City - The city where the venue is located.

District - A district or area within the city.

Neighborhood - The specific neighborhood or housing estate.

Country - The country where the venue is located.

Latitude - The geographic latitude, crucial for geospatial analysis.

Longitude - The geographic longitude, crucial for geospatial analysis.

Price range - The estimated price range of the venue (e.g., $, $$, $$$).

This data enables direct contact with decision-makers at the venue and verification of the legal entity, which is crucial for sales and operations teams.

Phone Number - The contact phone number for the venue.

Email Address - The email address, often used for initial contact.

Official Website(s) - The URL of the restaurant's official website.

Legal Organization Name - The legal name of the company operating the venue.

Owner / Contact Person - The name of the owner or a key contact person.

This group contains information about how the venue operates on delivery platforms. This data allows for assessing popularity, availability, and specific operational details on each app.

Venue Type - The final, refined classification of the venue (e.g., Restaurant, Retail, Bar, Cafe).

Operational Status - Indicates whether the venue is open, temporarily closed, or permanently closed.

Opening Hours - The venue's opening hours for each day of the week.

Average Rating - The average rating given by users on a specific platform.

Total Rating Count - The total number of reviews, which provides context for the average rating.

Source-Specific URLs - Direct links to the venue's profile on specific platforms (e.g., Uber Eats, Wolt).

Delivery Type - Specifies whether deliveries are handled by the platform or the venue itself (Marketplace vs. Platform).

Product Categories - More detailed categories assigned to the venue, e.g., Pizza, Sushi, Burgers.

Estimated Time of Arrival (ETA) - The estimated delivery time provided by the app, key for analyzing logistical competitiveness.

All data related to the costs incurred by the customer. This is essential for pricing teams to create competitive strategies, analyze margins, and understand competitors' fee structures.

Base Price - The standard price of a product on the menu.

Sale Price - The product's price after a discount is applied.

Delivery Fee - The basic fee for the delivery service.

Delivery Fee After Discount - The delivery fee after a promotion is applied.

Service Fee - An additional service charge added by the platform.

Small Order Fee - A fee for orders that are below a certain value threshold.

Other Fee Components - Other fee elements, such as a bad weather fee or a marketplace fee.

Minimum Order Value (MOV) - The minimum order total required for a delivery, often dependent on distance.

Detailed information about the venue's offerings. This data allows for the analysis of assortment, item popularity, and the completeness of the menu presentation.

Item Name - The name of the dish or product.

Item Description - A marketing description of the dish.

SKU / Item ID - A unique identifier for the product in the system.

Menu Categories - Categories within the menu, e.g., "Soups," "Main Courses," "Beverages".

Item Image URLs - Links to the photos of individual dishes.

Missing Menu Descriptions - A flag indicating that a product is missing a description.

Missing Menu Images - A flag indicating that a product is missing an image.

Data related to the marketing and promotional activities conducted by venues on platforms. This allows for tracking competitor strategies and optimizing your own campaigns.

Promotion Details - Detailed information about active promotions.

Standardized Promotion Types - Standardized promotion categories, e.g., "2 for 1" (2_FOR_1) or "delivery discount" (DELIVERY_DISCOUNT).

Banner Promotions- Information on participation in banner promotions on the app's main page.

Advertised Delivery Fee - A promotional, advertised fee for delivery.

Sponsored Listings - Indicates whether a venue's position in a list is sponsored/paid.

Subscription Plan Participation - Shows if a venue is part of a subscription program like Uber One or Wolt+.

This is often processed or aggregated data that provides strategic market insights. It enables the measurement of market share, identification of trends, and assessment of competitive positioning.

Group ID / Cross-Platform Presence - A unique ID assigned to the same venue appearing on different platforms. This allows for analyzing where competitors are present.

Chain Identification - A flag indicating if a venue is part of a larger restaurant chain (e.g., McDonald's, KFC).

QSR & Chain Coverage - Data on the market coverage of Quick Service Restaurants (QSRs) and chains, crucial for analyzing strategic partnerships.

Delivery Zone / Radius - The area within which a venue provides delivery, allowing for analysis of competitor reach.

Trending Restaurants - Identification of venues that are rapidly gaining popularity, for instance, through a fast increase in the number of ratings.

This category includes all the fundamental information that uniquely identifies a restaurant and its physical location. This data is the foundation for sales teams to generate leads and for analysts to map the market.

Restaurant Name - The official name of the venue

Full Address - The complete physical address, including street and number.

Address with City - A combined address with the city, often used for importing into CRM systems.

City - The city where the venue is located.

District - A district or area within the city.

Neighborhood - The specific neighborhood or housing estate.

Country - The country where the venue is located.

Latitude - The geographic latitude, crucial for geospatial analysis.

Longitude - The geographic longitude, crucial for geospatial analysis.

Price range - The estimated price range of the venue (e.g., $, $$, $$$).

WHY US

An insight into our DoorDash dataset

The table below provides a small, illustrative segment of the extensive DoorDash Dataset we offer. Our full, analysis-ready dataset is meticulously prepared and can be delivered in your preferred formats, including direct Data Warehouse access, CSV, or XLSX, ensuring seamless integration into your existing systems.
Restaurant Name Cuisine Country Latitude Longitude Subscription plan Total Rating Count Average Rating +40 Additional Data Points
The Local Eatery American United States 34.0522 -118.2437 DashPass 2150 4.6 Yes - Click to unlock
Taco Fiesta Mexican United States 40.7128 -74.0060 Not Included 1380 4.3 Yes - Click to unlock
Sushimoto Japanese United States 39.9526 -75.1652 DashPass 3420 4.8 Yes - Click to unlock
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The table above shows only a representative data sample.
To receive the full dataset with current, real-world data, please click the button.

DATASETS

Explore our Food Delivery Dataset Marketplace

In addition to our custom scraping services, we offer a wide range of pre-built, analysis-ready datasets covering the entire food delivery ecosystem. These datasets are perfect for immediate use in your BI tools and models, providing instant access to critical market intelligence without the lead time of a custom project. Browse our marketplace to find specific datasets on competitor pricing, market share, promotional strategies, and more.

European Electronics Retailer Pricing & Promotions

Product Name & SKU, Retailer Name, Price, Discounted Price, Promotion Type (e.g., bundle, cashback), Stock Availability, Customer Ratings, Number of Sellers, and many more.

37.7K+
3.6K+

European Hotel Pricing & Availability

Hotel Name, Location, Star Rating, Room Type, Price per Night, Availability Status, Customer Rating Score, Review Count, Included Amenities (e.g., free breakfast, parking), and many more

31.2K+
2.2K+

German Used Car Market Data

Car Make & Model, Year of Production, Price, Mileage (Przebieg), Engine Type (np. Diesel, Electric), Transmission Type, Location (PLZ), Seller Type (Private/Dealer), Date Listed, and many more.

12.2K+
0.4K+

Tech & IT Job Postings in the DACH Region

Job Title, Company Name, Location (City, Country), Required Skills & Technologies, Experience Level (Junior, Senior), Salary Range (if provided), Employment Type (Full-time, Contract), Date Posted, and many more.

64.2K+
6.7K+

Uber Eats Poland Dataset

Restaurant Name, Cuisine Type, Location (City, Area), Ratings, Customer Reviews, Menu Items, Prices, Discounts & Offers, Delivery Fees, and many more

62.2K+
4.2K+

UK Real Estate Listings - Apartments

Price, Price per Square Meter, Location (City, District), Area (in m²), Number of Rooms, Floor, Building Type, Year Built, Offer Type (Sale/Rent), Market Type (Primary/Secondary), and many more.

5.2K+
0.3K+
CUSTOM SCRAPING

Ready to see the bigger picture?

While your immediate focus might be on the DoorDash ecosystem, true market leadership demands a panoramic view. Our comprehensive scraping services extend across all major food delivery platforms, enabling you to track every competitor, identify emerging trends, and secure your dominance across any geographical region.
CUSTOM SCRAPING

Ready to see the bigger picture?

While your immediate focus might be on the DoorDash ecosystem, true market leadership demands a panoramic view. Our comprehensive scraping services extend across all major food delivery platforms, enabling you to track every competitor, identify emerging trends, and secure your dominance across any geographical region.
OTHER DATASETS

Explore data intelligence from other leading platforms

Our extensive data intelligence portfolio encompasses every significant player in the global food delivery market. This allows for direct, apples-to-apples comparisons, empowering you to analyze strategies and performance across the entire competitive landscape with unparalleled accuracy.

Uber Eats Datasets

The flagship dataset for one of the world's largest delivery platforms. Analyze their venue coverage, eater fees, and promotional strategies.

JustEat Datasets

Access data on Just Eat's extensive market coverage and diverse venue types, from local takeaways to major enterprise chains.

Glovo Datasets

Track Glovo's multi-category dominance, from restaurants to retail and grocery delivery, with our specialized dataset.

DoorDash Datasets

Get granular insights into the leading US market player, from detailed venue analytics to their complex fee and delivery logistics.

Wolt Datasets

Monitor Wolt's rapid expansion and operational efficiency with detailed data on their venue selection and user experience metrics.

Getir Datasets

Dive into the world of ultra-fast grocery and retail delivery with specific datasets on Getir's store locations, product assortment, and pricing.

Bolt Food Datasets

Analyze the competitive strategy of this fast-growing platform, focusing on their aggressive pricing and synergy with ride-hailing.

Talabat Datasets

Understand the food delivery landscape in the Middle East with comprehensive data on Talabat's market share and consumer ratings.

PedidosYa Datasets

Explore the leading platform in Latin America. Get key data on venue partnerships and delivery operations across the region.

Delivery Hero Datasets

Access a global perspective with data from Delivery Hero's vast network of brands and international markets.

Deliveroo Datasets

Analyze Deliveroo's premium restaurant partnerships and competitive fee structures in key European and APAC markets.

Show All Datasets

Secure your competitive edge with actionable insights

Don't let valuable market intelligence remain untapped. Reach out to our expert team today to discuss your specific data requirements. We will promptly prepare a personalized data sample tailored to your needs, demonstrating how a comprehensive DoorDash Dataset can become your most powerful tool for strategic decision-making and market outperformance.

Instant integration
Unmatched data quality
Strategic advantage

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